'''
Descripttion: 
Author: Haixu He
Date: 2021-12-20 13:22:16
'''
import numpy as np
import matplotlib.pyplot as plt
from utils import *
import math
from sklearn import preprocessing

if __name__ == '__main__':
    data = np.load('data.npy')
    miss_index = np.linspace(0, data.shape[0] - 1, 100).astype('int')

    miss_data = data[miss_index]

    pre  = np.load('r.npy')

    # plt.plot(data,label = 'label')
    plt.plot(pre,label = 'pre')
    plt.scatter(miss_index, miss_data)
    plt.legend()
    plt.show()

